Professor Cecilia Lindgren
Professor of Genomic Endocrinology & Metabolism, Nuffield Department of Medicine
- Director of Graduate Studies and Senior Group Leader, Nuffield Department of Medicine
- Professor, Group Head / PI and Fellow, Wellcome Trust Centre for Human Genetics
- Senior Research Fellow, St Anne's College
Obesity and its consequences are major and growing challenges for health care worldwide. Recently, the first common variants have been identified which influence overall levels of adiposity and predispose to obesity at the population level: these findings should lead to improved understanding of the mechanisms involved in the regulation of overall energy balance. However, not all obese individuals are equally vulnerable to diabetes, insulin resistance and the other adverse consequences of obesity, and it has long been appreciated that the distribution of fat (particularly the degree of central or visceral obesity) is an additional and independent determinant of individual risk of metabolic and cardiovascular disease.
Our research seeks to advance understanding of the mechanisms involved in obesity and the regulation of differential central fat accumulation in the belief that an appreciation of these mechanisms will complement advances in understanding of overall energy balance.
By applying a range of genetic and genomic approaches, we expect to identify genetic variants influencing regional fat distribution, and to illuminate some of the biological pathways involved. Our specific objectives are:
- To undertake identification of genetic variants influencing obesity and individual patterns of fat distribution and central obesity through large-scale genome-wide association meta-analysis and fine-mapping;
- To examine the relationships between sequence variation, expression of mRNA, microRNAs and molecular and physiological phenotypes, in human adipose samples, to identify adipose-specific pathways relevant to individual differences in obesity and central fat distribution;
- To follow-up of the key findings from genetic, epidemiological and functional perspectives.
This knowledge should support translational advances in the management of obesity through development of novel diagnostic and therapeutic options
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.
Mahajan A. et al, (2018), Nat genet
Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The INTERBIO-21st Newborn Case-Control Study Protocol.
KENNEDY SH. et al, (2018), Gates open research
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.
Evangelou E. et al, (2018), Nat genet
Meta-analysis of genome-wide association studies for body fat distribution in 694,649 individuals of European ancestry.
Pulit SL. et al, (2018), Hum mol genet
Large scale meta-analysis highlights the hypothalamic-pituitary-gonadal (HPG) axis in the genetic regulation of menstrual cycle length.
Laisk T. et al, (2018), Hum mol genet